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News
🚀 Introducing Our Smarter AI Model
1+ hour, 29+ min ago (70+ words) 🚀 Announcing Our New AI Model Update! We’re excited to introduce a new update to our AI model, making it smarter, faster, and more efficient at handling operations and requirements. We’re continuously working on improving intelligence, fixing bugs, and enhancing overall…...
RSI AI Without New Model Weights: What Actually Improves?
13+ hour, 25+ min ago (566+ words) A coding agent improves its editing tool. Its base model stays exactly the same. Can that count as recursive self-improvement? It can be part of the process. The question is whether the better tool helps the agent produce further improvements,…...
A Better AI May Never Be Enough
4+ day, 1+ hour ago (638+ words) Why I compare AI versions scenario by scenario, not average by average Part 9 findings of an experiment: building an LLM-powered support agent with deterministic boundaries. The companion repo contains the full code. My support agent had a known weakness. It…...
8 stats that show AI got smarter faster than it got safer
4+ day, 18+ hour ago (792+ words) SWE-bench Verified moved from 60% to nearly 100% in a single year. A benchmark built to separate frontier labs from everyone else stopped doing that job in roughly the time it takes most enterprises to renew a cloud contract. Capability is the…...
This is how self improving AI actually starts
4+ day, 18+ hour ago (734+ words) Gradient Flow | Ben Lorica This is how self improving AI actually starts Self-Improvement Without the Science Fiction A few weeks ago I wrote about AI systems that keep learning after deployment instead of treating every interaction as a fresh start....
AI Evals at a Glance: Heatmaps for Stakeholders
2+ week, 5+ day ago (20+ words) Visualizing AI evals with Inspect Viz Welcome back to our blog series on running,... Tagged with ai, llm, datascience, python....
Exploring the Limits of Pruning
2+ week, 5+ day ago (212+ words) View this page in? Domain fit: AI-core · Core AI workload signals detected from paper context and implementation/artifact evidence. Audit each benchmark finding before selecting an implementation path. Evidence refs map to the disclosure below. Evidence graph: 2 refs, 1 links. Utility…...